JMIR Medical Education

Technology, innovation, and openness in medical education in the information age.

Editor-in-Chief:

Blake J. Lesselroth, MD MBI FACP FAMIA, University of Oklahoma | OU-Tulsa Schusterman Center; University of Victoria, British Columbia


Impact Factor 3.2 CiteScore 6.9

JMIR Medical Education (JME, ISSN 2369-3762) is an open access, PubMed-indexed, peer-reviewed journal focusing on technology, innovation, and openness in medical education.This includes e-learning and virtual training, which has gained critical relevance in the (post-)COVID world. Another focus is on how to train health professionals to use digital tools. We publish original research, reviews, viewpoint, and policy papers on innovation and technology in medical education. As an open access journal, we have a special interest in open and free tools and digital learning objects for medical education and urge authors to make their tools and learning objects freely available (we may also publish them as a Multimedia Appendix). We also invite submissions of non-conventional articles (e.g., open medical education material and software resources that are not yet evaluated but free for others to use/implement). 

In our "Students' Corner," we invite students and trainees from various health professions to submit short essays and viewpoints on all aspects of medical education, particularly suggestions on improving medical education and suggestions for new technologies, applications, and approaches. 

In 2024, JMIR Medical Education received a Journal Impact Factor™ of 3.2 (Source: Journal Citation Reports™ from Clarivate, 2024). The journal is indexed in MEDLINEPubMed, PubMed Central, Scopus, DOAJ, and the Emerging Sources Citation Index (Clarivate)JMIR Medical Education received a CiteScore of 6.9, placing it in the 91st percentile (#137 of 1543) as a Q1 journal in the field of Education.

Recent Articles

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Theme Issue [2023]: Digital Health Skills and Competencies for Clinicians and Health Care Professionals

ncremental advancements in Artificial Intelligence (AI) technology have facilitated its integration into various disciplines. In particular, the infusion of AI into medical education has emerged as a significant trend with noteworthy research findings. Consequently, a comprehensive review and analysis of the current research landscape of AI in medical education is warranted.

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Specialist Training for Doctors

The 2024 Nephrology fellowship match data shows the declining interest in Nephrology in the United States, with an 11% drop in candidates and a mere 66% of positions filled.

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New Methods and Approaches in Medical Education

Current challenges in patient care have increased research on technology use in nursing and health care. Digital assistive technologies (DATs) are one option that can be incorporated into care processes. However, how the application of DATs should be introduced to nurses and care professionals must be clarified. No structured and effective education concepts for the patient-oriented integration of DATs in the nursing sector are currently available.

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Artificial Intelligence (AI) in Medical Education

This research explores the capabilities of ChatGPT-4 in passing the American Board of Family Medicine (ABFM) Certification Examination. Addressing a gap in existing literature, where earlier Artificial Intelligence (AI) models showed limitations in medical board exams, this study evaluates the enhanced features and potential of ChatGPT-4, especially in document analysis and information synthesis.

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Evaluation of Medical Education

The integration of gender and sexuality awareness in health care is increasingly recognized as vital for patient outcomes. Despite this, there is a notable lack of comprehensive data on the current state of physicians’ training and perceptions in these areas, leading to a gap in targeted educational interventions and optimal health care delivery.

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Undergraduate Education for Future Healthcare Professionals

In the field of research, psychological safety has been widely recognized as a contributing factor to improving the quality of care and patient safety. However, its consideration in the curricula and traineeship pathways of residents and health care students is scarce.

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Testing and Assessment in Medical Education

The creation of large language models (LLMs) such as ChatGPT is an important step in the development of artificial intelligence(AI), which shows great potential in medical education due to its powerful language understanding and generative capabilities. The purpose of this study was to quantitatively evaluate and comprehensively analyze ChatGPT's performance in handling questions for the National Nursing Licensure Examination in China and the United States, including the National Council Licensure Examination for Registered Nurses (NCLEX-RN) and the National Nursing Licensure Examination (NNLE).

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Viewpoint and Opinions on Innovation in Medical Education

Instructional and clinical technologies have been transforming dental education. With the emergence of artificial intelligence (AI), the opportunities of utilizing AI in education has increased. With the recent advancement of generative AI, Large Language Models (LLMs) and foundation models (FM) gained attention with their capabilities in natural language understanding and generation as well as combining multiple types of data, such as text, images, and audio. A common example has been ChatGPT, which is based on a powerful LLM, generative pretrained transformer (GPT) model. This article discusses the potential benefits and challenges of incorporating LLMs in dental education, focusing on periodontal charting with a use case to outline capabilities of LLMs. LLMs can provide personalized feedback, generate case scenarios, and create educational content to contribute to the quality of dental education. However, challenges, limitations and risks exist, including bias and inaccuracy in the content created, privacy and security concerns, and the risk of overreliance. With the guidance and oversight, and by effectively and ethically integrating LLMs, dental education can incorporate engaging and personalized learning experiences for students towards readiness for real-life clinical practice.

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Graduate and Postgraduate Education for Health Professionals

Professionals with expertise in health informatics play a crucial role in the digital health sector. Despite efforts to train experts in this field, the specific impact of such training, especially for individuals from diverse academic backgrounds, remains undetermined.

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Preprints Open for Peer-Review

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